NIST deprecates RSA-2048 from 2030. Find every one of them before attackers do.
🐍
🐍 PyPI
Not in CISA KEV
HIGH severity

HTML injection in JupyterLite leading to DOM ClobberingGHSA-gj55-2xf9-67rq

HIGH

GHSA-gj55-2xf9-67rq is a high-severity (CVSS 8.1) vulnerability in jupyterlite-core. A fix is available for jupyterlite-core — see the affected versions and patch details below.

Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 28, 2024 · OSV.dev, FIRST.org (EPSS)

Real-World Exposure

1 pkg affected
🐍jupyterlite-core

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Impact

The vulnerability depends on user interaction by opening a malicious notebook with Markdown cells, or Markdown file using JupyterLab preview feature.

A malicious user can access any data accessible from JupyterLite and perform arbitrary actions in JupyterLite environment.

Patches

JupyterLite 0.4.1 was patched.

Workarounds

There is no workaround for the underlying DOM Clobbering susceptibility. However, select plugins can be disabled on deployments which cannot update in a timely fashion to minimise the risk. These are:

  • @jupyterlab/mathjax-extension:plugin - users will loose ability to preview mathematical equations
  • @jupyterlab/markdownviewer-extension:plugin - users will loose ability to open Markdown previews
  • @jupyterlab/mathjax2-extension:plugin (if installed with optional jupyterlab-mathjax2 package) - an older version of the mathjax plugin for JupyterLab 4.x

To disable these extensions populate the disabledExtensions key in jupyter-config-data stanza of jupyter-lite.json as documented on https://jupyterlite.readthedocs.io/en/stable/howto/configure/config_files.html#jupyter-lite-json

{
  "jupyter-lite-schema-version": 0,
  "jupyter-config-data": {
    "appName": "My JupyterLite App",
    "disabledExtensions": [
      "@jupyterlab/markdownviewer-extension:plugin",
      "@jupyterlab/mathjax-extension:plugin",
      "@jupyterlab/mathjax2-extension:plugin"
    ]
  }
}

To confirm that the plugins were disabled manual inspection of the built page is required.

References

Upstream advisory: https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-9q39-rmj3-p4r2

Notes

This change has a potential to break rendering of some markdown. There is a setting in Sanitizer which allows to revert to the previous sanitizer settings (allowNamedProperties).

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIjupyterlite-coreall versions0.4.1pip install --upgrade 'jupyterlite-core==0.4.1'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for jupyterlite-core, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update jupyterlite-core to 0.4.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-gj55-2xf9-67rq is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

Frequently Asked Questions

### Impact The vulnerability depends on user interaction by opening a malicious notebook with Markdown cells, or Markdown file using JupyterLab preview feature. A malicious user can access any data accessible from JupyterLite and perform arbitrary actions in JupyterLite environment. ### Patches JupyterLite 0.4.1 was patched. ### Workarounds There is no workaround for the underlying DOM Clobbering susceptibility. However, select plugins can be disabled on deployments which cannot update in a timely fashion to minimise the risk. These are: - `@jupyterlab/mathjax-extension:plugin` - users w
O3 Security · Impact-Aware SCA

Is GHSA-gj55-2xf9-67rq in your dependencies?

Find it across PyPI, including transitive dependencies.

HTML injection in JupyterLite leading to DOM Clobbering